qd-3dt
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SysCV
Official implementation of Monocular Quasi-Dense 3D Object Tracking, TPAMI 2022
My laptop env is NVIDIA RTX 3080 cuda 11.1 NVIDIA Driver Version: 470.57.02 when I run bash install.sh with after pip install -r requriement.txt 1. ValueError: Unknown CUDA arch (8.6)...
Hi everyone, I am building a data pipeline to run with qd-3dt as follows: 1. Extract RGB frames from a monocular video (I have the camera intrinsics) 2. Generate depth...
Hi, can you please share with us a way to solve this error: `RuntimeError: CUDA out of memory. Tried to allocate 84.00 MiB (GPU 0; 3.82 GiB total capacity; 2.37...
Hi Nice work. Congrats! Would it be possible to provide or give directions as to where to find a minimalistic inference example? Something like - Install (probably using instructions already...
I have implemented your training process on nuScenes dataset. I used your default settings. My environment is like 4x3090, but the error is like "CUDA out of memory". How I...
I have been attempting to utilize your model with full 3D monocular tracking on custom data, and for that I would like to make use of the [inference api](https://github.com/SysCV/qd-3dt/blob/main/qd3dt/apis/inference.py). Although...
Hi, I can see that the source code only use non_distributed training even with multiple GPUs training. Is there any special reason why you use non_distributed training?
Hi Thanks for providing this great work! Now I have run estimation results of nuscenes under the work_dir folder. I have txt files of the detection results. However, I hope...
Hi Roy, I already get the trained data output.json and detection_result.json & tracking_result.json for the Nuscence dataset. I am not sure how to visualization these results or visualization the dataset?...
Is there any documentation how to inference this model?, if it is available please share. And also is it possible to test on 3d custom point clouds?, if the inference...
